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Ryph vs Ugoko

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Ryph compared with Ugoko
DetailRyph logo RyphUgoko logo Ugoko
What it doesOpen-source AI agent orchestration platform for incident response and automation Run agents on cloud computers and call language and media models
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelOpen source Not given
PricingNot given Free in test mode with 2 hours of computer time per day. Live mode: computers $0.0000556 per second ($0.20 per hour), billed by the second while awake. Claude Sonnet 5.5 (default): $1.92 per million input tokens, $9.60 per million output tokens. Language models from $0.096 to $9.60 per million input
Key features
  • Incident response with agent investigation and pull request generation
  • Automated workflows triggered on schedules or webhooks
  • Agent summoning from GitHub, GitLab and Radicle with /ryph command
  • Semantic memory system for shared and persistent agent learning
  • Credentials kept behind gateways with no access in sandbox
  • Customized environments per repository with cached dependencies
  • Browser use for agent interactions with live watching
  • Artifacts and pages for reports and overviews
  • Deployment options from laptop to Kubernetes
  • Tool proxy with allowlisted MCP server integrations
  • Run agents from Claude Code, Codex, pi or Ugoko's own agent
  • Language models from Claude, Kimi, GLM, Grok and GPT
  • Image, video, audio and speech generation
  • Per-end-user budgets and metering
  • Computer sleeps free after 5 idle minutes
  • Command-line interface with one-command setup
  • Test mode free with real computer time
  • No failed generation charges
  • Webhooks and event streaming
What makes it different
  • Agents work without holding real credentials or keys
  • Changes ship as patches that require review before merge
  • Runs on your own infrastructure from laptop to cloud
  • Semantic memory learns across runs with deduplication and contradiction handling
  • Built-in safety assuming agents can be manipulated or exploited
  • Pay only for computer time while awake, with sleep cost-free
  • One project balance for all: computers, all language models and all media models
  • Includes Claude Code, Codex and preview harnesses with no separate gateway to build
  • Failed jobs are free; pay only for successful generations
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)00
Referring domains (Majestic)00

3 details filled in for both companies.

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